Название: Building Custom Tasks for SQL Server Integration Services: The Power of .NET for ETL for SQL Server 2019 and Beyond Автор: Andy Leonard
Издательство: Apress
Год: 2021
Формат: true pdf/epub
Страниц: 698
Размер: 91 Mb
Язык: English
Build custom SQL Server Integration Services (SSIS) tasks using Visual Studio Community Edition and C#. Bring all the power of Microsoft .NET to bear on your data integration and ETL processes, and for no added cost over what you’ve already spent on licensing SQL Server. New in this edition is a demonstration deploying a custom SSIS task to the Azure Data Factory (ADF) Azure-SSIS Integration Runtime (IR).
All examples in this new edition are implemented in C#. Custom task developers are shown how to implement custom tasks using the widely accepted and default language for .NET development.
Why are custom components necessary? Because even though the SSIS catalog of built-in tasks and components is a marvel of engineering, gaps remain in the available functionality. One such gap is a constraint of the built-in SSIS Execute Package Task, which does not allow SSIS developers to select SSIS packages from other projects in the SSIS Catalog. Examples in this book show how to create a custom Execute Catalog Package task that allows SSIS developers to execute tasks from other projects in the SSIS Catalog. Building on the examples and patterns in this book, SSIS developers may create any task to which they aspire, custom tailored to their specific data integration and ETL needs.
What You Will Learn
Configure and execute Visual Studio in the way that best supports SSIS task development
Create a class library as the basis for an SSIS task, and reference the needed SSIS assemblies
Properly sign assemblies that you create in order to invoke them from your task
Implement source code control via Azure DevOps, or your own favorite tool set
Troubleshoot and execute custom tasks as part of your own projects
Create deployment projects (MSIs) for distributing code-complete tasks
Deploy custom tasks to Azure Data Factory Azure-SSIS IRs in the cloud
Create advanced editors for custom task parameters